This 3-credit hour course introduces essential concepts in probability and statistics for students in the Mathematics and Computing undergraduate major.The course focuses on and works toward concepts in probability and statistics that are important for problems in computing and machine learning, such as statistical inference, in particular parameter estimation, and sampling/simulation methods such as Monte Carlo methods. This is in contrast to topics in hypothesis testing and confidence intervals that may be more important to students in t
The following table contains a list of all undergraduate special topics courses offered by the School of Math within the last 5 years. More information on courses offered in the current/upcoming semester follows below.
The following table contains a list of all graduate special topics courses offered by the School of Math within the last 5 years. More information on courses offered in the current/upcoming semester follows below.
Professional Skills for Mathematics is an introduction to technical and communication skills utilized in upper level mathematics courses with additional focus on resume building and professional development.
This course is an introduction to theoretical statistics for students with a background in probability. A mathematical formalism for inference on experimental data will be developed.
This course is a mathematical introduction to probability theory, covering random variables, moments, multivariate distributions, law of large numbers, central limit theorem, and large deviations.
MATH 3215, MATH 3235, and MATH 3670 are mutually exclusive; students may not hold credit for more than one of these courses.
Introduction to probability, probability distributions, point estimation, confidence intervals, hypothesis testing, linear regression and analysis of variance.
MATH 3215, MATH 3235, and MATH 3670 are mutually exclusive; students may not hold credit for more than one of these courses.
This course will cover important topics in linear algebra not usually discussed in a first-semester course, featuring a mixture of theory and applications.
Mathematical logic and proof, mathematical induction, counting methods, recurrence relations, algorithms and complexity, graph theory and graph algorithms.
